{"schemaVersion":"jobsearcher.job.v1","id":"477d2d5d896f56531b2b205a","url":"https://jobsearcher.com/jobs/477d2d5d896f56531b2b205a","canonicalUrl":"https://jobsearcher.com/jobs/477d2d5d896f56531b2b205a","title":"Elastic Data Engineer","description":"Mission Overview\r\nOur client is undergoing an ambitious digital and organizational transformation. Within the Digital Transformation Office (DTO), we are building modern processes, stronger operational support, and more data-driven services. This consultancy mission at the client site represents Keystone Solutions, where you will contribute to impactful projects that combine digitalization, legacy modernization, and societal relevance.\r\nResponsibilities\r\nSet up and manage an event-driven data architecture using Apache Kafka as a buffering and processing layer, and Elasticsearch as a data lake solution for structured and unstructured data.\r\nFocus on establishing performant Kafka and Elastic stacks (schema management, topic management, indexing strategies) while ensuring data consistency, scalability, and observability throughout the entire data ingestion to consumption process.\r\nDesign, implement, and document necessary components, making data available via a data service layer (REST APIs, microservices) and ensuring error handling and optimization of the entire pipeline.\r\nDevelop a data service layer (REST APIs, microservices) that makes data from Elasticsearch available for analysis, monitoring, or integration with other systems.\r\nUtilize Docker, Kubernetes, and Openshift for the deployment of components.\r\nEnsure data consistency and scalability throughout the entire data ingestion to consumption process, and manage observability, error handling, and optimization via CI/CD pipelines (GitLab CI) and Python scripting.\r\nRequirements\r\nProven experience as a data engineer with a focus on event-driven systems and real-time data integration.\r\nIn-depth knowledge of Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) and Elasticsearch (including Kibana, ingest pipelines, index lifecycle management).\r\nMethodical and precise work ethic to ensure data consistency and scalability within the Kafka and Elastic architecture.\r\nAbility to work autonomously, propose solutions, and adapt quickly to changes in the situation.\r\nStrong documentation skills to clearly and structurally document analyses, pipelines, schemas, configurations, and technical choices (reports, documentation).\r\nExcellent written and verbal communication skills to participate seamlessly in meetings with specialists and user representatives.\r\nAbility to work in a team, prioritize within a complex environment with multiple data pipelines, processes, and technical dependencies, and demonstrate flexibility in scheduling.\r\nClient-oriented and solution-focused attitude, stress-resistant, creative, constructive, and attentive to user-needs.\r\nKeystone Solutions Advantages\r\nConsultancy Nature: Engage in on-site work and embody the consultant identity.\r\nDynamic Projects: Tackle diverse challenges across various client environments.\r\nTurbo-Charged Learning: Experience professional development and broad learning opportunities.\r\nSkyrocketing Ambition: Commit to career growth within our framework.\r\nValues: As a\r\nDuration\r\n01/09/2026 - 31/12/2026 4 months (full time)\r\nSkills required\r\nApache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) - Level: Confirmed - Most recent: Any time\r\nCI/CD tools (GitLab CI) - Level: Confirmed - Most recent: Any time\r\nData Service Layer (REST API's, microservices) - Level: Confirmed - Most recent: Any time\r\nDocker, Kubernetes en Openshift - Level: Confirmed - Most recent: Any time\r\nElasticsearch (Kibana, ingest pipelines, index lifecycle management) - Level: Confirmed - Most recent: Any time\r\nIndexingstrategieën en data-consistentie (Elasticsearch) - Level: Confirmed - Most recent: Any time\r\nObservability, foutafhandeling en optimalisatie van data-pipelines - Level: Confirmed - Most recent: Any time\r\nPostgreSQL - Level: Confirmed - Most recent: Any time\r\nPython - Level: Confirmed - Most recent: Any time\r\nSchema management en topicbeheer (Kafka) - Level: Confirmed - Most recent: Any time\r\nLanguage requirements\r\nDutch Level Active knowledge\r\nEnglish Level Active knowledge\r\nFrench Level Active knowledge\r\nJ-18808-Ljbffr","company":"Keystone Solutions","rawCompany":"keystone solutions","city":"Cedar Grove","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-08-13T01:55:09.731Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Elastic Data Engineer","description":"Mission Overview\r\nOur client is undergoing an ambitious digital and organizational transformation. Within the Digital Transformation Office (DTO), we are building modern processes, stronger operational support, and more data-driven services. This consultancy mission at the client site represents Keystone Solutions, where you will contribute to impactful projects that combine digitalization, legacy modernization, and societal relevance.\r\nResponsibilities\r\nSet up and manage an event-driven data architecture using Apache Kafka as a buffering and processing layer, and Elasticsearch as a data lake solution for structured and unstructured data.\r\nFocus on establishing performant Kafka and Elastic stacks (schema management, topic management, indexing strategies) while ensuring data consistency, scalability, and observability throughout the entire data ingestion to consumption process.\r\nDesign, implement, and document necessary components, making data available via a data service layer (REST APIs, microservices) and ensuring error handling and optimization of the entire pipeline.\r\nDevelop a data service layer (REST APIs, microservices) that makes data from Elasticsearch available for analysis, monitoring, or integration with other systems.\r\nUtilize Docker, Kubernetes, and Openshift for the deployment of components.\r\nEnsure data consistency and scalability throughout the entire data ingestion to consumption process, and manage observability, error handling, and optimization via CI/CD pipelines (GitLab CI) and Python scripting.\r\nRequirements\r\nProven experience as a data engineer with a focus on event-driven systems and real-time data integration.\r\nIn-depth knowledge of Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) and Elasticsearch (including Kibana, ingest pipelines, index lifecycle management).\r\nMethodical and precise work ethic to ensure data consistency and scalability within the Kafka and Elastic architecture.\r\nAbility to work autonomously, propose solutions, and adapt quickly to changes in the situation.\r\nStrong documentation skills to clearly and structurally document analyses, pipelines, schemas, configurations, and technical choices (reports, documentation).\r\nExcellent written and verbal communication skills to participate seamlessly in meetings with specialists and user representatives.\r\nAbility to work in a team, prioritize within a complex environment with multiple data pipelines, processes, and technical dependencies, and demonstrate flexibility in scheduling.\r\nClient-oriented and solution-focused attitude, stress-resistant, creative, constructive, and attentive to user-needs.\r\nKeystone Solutions Advantages\r\nConsultancy Nature: Engage in on-site work and embody the consultant identity.\r\nDynamic Projects: Tackle diverse challenges across various client environments.\r\nTurbo-Charged Learning: Experience professional development and broad learning opportunities.\r\nSkyrocketing Ambition: Commit to career growth within our framework.\r\nValues: As a\r\nDuration\r\n01/09/2026 - 31/12/2026 4 months (full time)\r\nSkills required\r\nApache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) - Level: Confirmed - Most recent: Any time\r\nCI/CD tools (GitLab CI) - Level: Confirmed - Most recent: Any time\r\nData Service Layer (REST API's, microservices) - Level: Confirmed - Most recent: Any time\r\nDocker, Kubernetes en Openshift - Level: Confirmed - Most recent: Any time\r\nElasticsearch (Kibana, ingest pipelines, index lifecycle management) - Level: Confirmed - Most recent: Any time\r\nIndexingstrategieën en data-consistentie (Elasticsearch) - Level: Confirmed - Most recent: Any time\r\nObservability, foutafhandeling en optimalisatie van data-pipelines - Level: Confirmed - Most recent: Any time\r\nPostgreSQL - Level: Confirmed - Most recent: Any time\r\nPython - Level: Confirmed - Most recent: Any time\r\nSchema management en topicbeheer (Kafka) - Level: Confirmed - Most recent: Any time\r\nLanguage requirements\r\nDutch Level Active knowledge\r\nEnglish Level Active knowledge\r\nFrench Level Active knowledge\r\nJ-18808-Ljbffr","datePosted":"2026-08-13T01:55:09.731Z","dateModified":"2026-08-13T01:55:09.731Z","hiringOrganization":{"@type":"Organization","name":"Keystone Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cedar Grove","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"477d2d5d896f56531b2b205a"},"url":"https://jobsearcher.com/jobs/477d2d5d896f56531b2b205a"}}